Data Scientist

Salary: £55,000 - 95,000 per year

Requirements:

• 4+ years of experience supporting data science projects in a consulting environment.
• 4+ years of experience participating in projects focused on one or more of predictive analytics, data design, statistics, AI/ML, or ML Ops.
• 3+ years of experience using Python and/or R to analyze disparate datasets.
• 1+ year of hands-on Gen AI/LLM development experience.
• A masters degree is preferred; an undergraduate or graduate degree is also preferred.
• Experience with statistics, data visualization, data wrangling, and dynamic model tuning.
• Familiarity with supervised and unsupervised machine-learning approaches, such as regression, classification, and clustering.
• Professional verbal and written communication skills, sound judgment, and the ability to work with minimal support.
• A dependable, collaborative approach, excellent work ethic, flexibility, and commitment to success.

Responsibilities:

• Drive data insights to uncover business opportunities and revenue streams, applying an understanding of business growth areas and relevant data.
• Identify emerging analytics trends, data needs, and repeatable analytics solutions.
• Work with stakeholders to develop hypotheses and analytical models that answer impactful business questions.
• Identify, analyze, and interpret trends and patterns in complex datasets using appropriate machine-learning methods.
• Contribute data science, artificial intelligence, and machine-learning expertise to projects.
• Break down complex business problems, develop solutions, and deliver work with a strong focus on client satisfaction.
• Conduct market research, develop points of view, and communicate findings to clients and stakeholders.
• Build client relationships and understand project work and challenges.
• Work with structured and unstructured datasets of varying sizes and complexity, including processing large data streams in distributed computing environments.
• Implement batch and real-time model scoring.
• Assemble complex datasets that meet functional and non-functional business requirements.
• Apply business knowledge to analyze data, develop reports, and solve problems; perform ad hoc analyses as business needs arise.
• Participate in analyzing and resolving information-flow and content issues with data stakeholders.
• Bring innovative, resourceful, and creative approaches to achieve successful client outcomes.

Technologies:

• AI
• Cloud
• Flow
• Support
• LLM
• Python
• Security
• Machine Learning

More:

We are seeking a Data Scientist / ML Engineer to join our team in London, United Kingdom. NTT DATA is a global business and technology services company serving 75% of the Fortune Global 100. We work to accelerate client success and positively impact society through responsible innovation, with capabilities in enterprise AI, cloud, security, connectivity, data centers, and application services. Our consulting and industry solutions help organizations move confidently and sustainably into the digital future. As part of NTT Group, we have experts in more than 50 countries and access to innovation centers and established and startup partners; NTT Group invests more than $3 billion annually in research and development. We hire locally to our offices or client sites where possible. Remote and hybrid arrangements may be available depending on client requirements, and in-office attendance may be required for meetings or events based on business needs. We are an equal opportunity employer.

last updated 40 week of 2026